By |Published On: October 23rd, 2013|Categories: Uncategorized|

Sitting here working on my lecture for advanced investment management.

I’ve been working through mean-variance-analysis and came across the good old-fashioned “Mean Variance Frontier.”

optimal

click to enlarge

In the chart above you’ll notice I’ve highlighted two important portfolios: The minimum variance portfolio and the tangency portfolio.

As any good investor focused on mean and standard deviation will tell you, the minimum variance portfolio is a portfolio nobody would theoretically own.

Why not?

Well, look at the portfolio opportunity set created by pairing the tangency portfolio and the risk-free rate (the straight line). Notice how the straight line rests well above the minimum variance portfolio? Well, if an investor could hold a basket that is part tangency portfolio and part risk-free, that investor can achieve a higher risk/reward than by simply holding the minimum variance portfolio. To repeat, NOBODY SHOULD HOLD A MINIMUM VARIANCE PORTFOLIO (in theory).

And yet, the world is full of minimum variance portfolios:

Did the biggest fund providers in the world forget to attend their MBA 101 classes?

Well, not really. These folks are obviously bright and many of the underlying assumptions associated with mean variance analysis are absolutely ludicrous. However…

The biggest fund providers are in the business of selling and one of the more effective ways to sell is to data-mine for a great backtest, ignore robustness tests, and tell a great story.

The minimum volatility pitch is great:

  • Investor: “Hi financial advisor, what do you have that involves low-risk equity investing?”
  • RIA: “Well sir, we are screening for a portfolio that minimizes your volatility. Low risk, no doubt–its even in the name!”

It turns out that, historically, the minimum variance portfolio (minimizes volatility) has outperformed the theoretically superior “tangency” portfolio (maximizes sharpe) construction.

However, the basis for creating portfolios based on a minimum variance approach has little in regard to theoretical underpinnings…as far as I can tell…

Moreover, some of the work I’ve done on my own (and from others) suggests that investors have many reasons to question the robustness of any portfolio formed based on mean variance analysis (to include the minimum variance portfolio!).

Minimum volatility to the rescue?

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About the Author: Wesley Gray, PhD

Wesley Gray, PhD
After serving as a Captain in the United States Marine Corps, Dr. Gray earned an MBA and a PhD in finance from the University of Chicago where he studied under Nobel Prize Winner Eugene Fama. Next, Wes took an academic job in his wife’s hometown of Philadelphia and worked as a finance professor at Drexel University. Dr. Gray’s interest in bridging the research gap between academia and industry led him to found Alpha Architect, an asset management firm dedicated to an impact mission of empowering investors through education. He is a contributor to multiple industry publications and regularly speaks to professional investor groups across the country. Wes has published multiple academic papers and four books, including Embedded (Naval Institute Press, 2009), Quantitative Value (Wiley, 2012), DIY Financial Advisor (Wiley, 2015), and Quantitative Momentum (Wiley, 2016). Dr. Gray currently resides in Palmas Del Mar Puerto Rico with his wife and three children. He recently finished the Leadville 100 ultramarathon race and promises to make better life decisions in the future.

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